Base model:finetune:totally-no... Base model:totally-not-an-llm/... Ext 8k Ggml Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/TheBloke/AlpacaCielo2-7B-8K-GGML
AlpacaCielo2 7B 8K GGML Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
AlpacaCielo2 7B 8K GGML Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | AlpacaCielo2 7B 8K GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/AlpacaCielo2-7B-8K-GGML |
| Model Name | AlpacaCielo2 7B 8K |
| Model Creator | totally-not-an-llm |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 2.9 GB |
| Updated | 2025-08-21 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGML Quantization | Yes |
| Context Length | 8k |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
Best Alternatives to AlpacaCielo2 7B 8K GGML
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Context / RAM |
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| Llama 2 7B Chat GGML | 0K / 2.9 GB | 743 | 872 |
| Llama 2 GGML Medical Chatbot | 0K / GB | 12 | 40 |
| Llama 2 7B GGML | 0K / 2.9 GB | 62 | 220 |
| CodeLlama 7B Python GGML | 0K / 2.9 GB | 32 | 24 |
| Yarn Llama 2 7B 128K GGML | 0K / 2.9 GB | 4 | 6 |
| Yarn Llama 2 7B 64K GGML | 0K / 2.9 GB | 3 | 3 |
| CodeLlama 7B GGML | 0K / 3 GB | 7 | 27 |
| CodeLlama 7B Instruct GGML | 0K / 3 GB | 20 | 20 |
| Airoboros L2 7B 2.1 GGML | 0K / 2.9 GB | 2 | 1 |
| Zarafusionex 1.1 L2 7B GGML | 0K / 2.9 GB | 2 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/AlpacaCielo2-7B-8K-GGML .
Rank the AlpacaCielo2 7B 8K GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124